Thứ Ba, 25 tháng 9, 2018

Waching daily Sep 25 2018

When you design a control system you have two main goals

Get the system to track a set point or the command that you've given it and reject any disturbances into the system

Really though, it's the same goal

You're trying to get the system to do what you want while the environment is throwing you off course in

addition to disturbances there's noise in your system that makes it difficult to figure out whether the system is actually off course or not and

We spend a lot of time touting the benefits of feedback control to handle these very things they can track a setpoint

Reject disturbances and if the noise is high enough frequency, then the feedback controller can filter it out or ignore it completely

Feedback control is pretty powerful in practice

However, a feedback only controller is not necessarily the best architecture in this video

I want to explain some of the benefits of pairing your feedback controller with one or more feed-forward

Controllers, I'm Brian and welcome to a MATLAB Tech Talk

To begin, let's look at how set point changes disturbances and noise are handled in a feedback controller

Remember our controller works off error. That's the difference between the set point and the measured state of the system

so anything that produces error our controller will see

When the set point changes the state of the system hasn't had a chance to respond. And so that directly affects the error term

when

Disturbances act on a system they affect the output of the system

which is measured by the sensor as a change in state and that causes error and

Finally noise in the sensor affects the measured state of the system which again is fed back and causes error

The setpoint change and disturbance is error that we want the controller to actually respond to and correct

The noise however is error that we want the controller to ignore because it's not real state error

But here's the problem since all of the error is combined before the controller. It can't tell the difference between them

So what can we do?

Well, let's take a look at these sources of error in the frequency domain

Perhaps the set point changes your commanding are relatively slow and there for low frequency

Maybe the disturbances are a little bit faster, but still much slower than the high frequency noise in the system

in this case a common way to remove the noise is to set your controller bandwidth or the

Range of frequencies that it will respond to low enough so that it doesn't react to the noise

But fast enough that it will respond to disturbances and set point changes

Let's try to understand this in a more intuitive way by trying to follow this red dot with your eyes

So keep your eyes on it

When you track a moving object with your eyes

You are the controller in your eyes of the sensors and the eye muscles are the actuators

This is a feedback control system and it has a certain bandwidth

That is there's a frequency of motion that your eye muscles can keep up with and some motion that is just so fast

You can't possibly follow it

therefore if the changes to the set point and the

Disturbances into your system are both rather slow and the noise into your system is rather fast

Then your controller or your eyes will follow the set point and correct for the disturbances, but not be able to follow the noise

So, this is great

But what happens if the noise in your system overlaps the setpoint change frequency or the disturbance?

Frequency and you're unable to filter out that noise in some other way

Then your feedback controller will react to the noise unless you lower the bandwidth even more

Slowing the controller down in this way

It won't react to the noise, but you've also reduced its ability to quickly follow the setpoint or respond to disturbances

Not great. This is one scenario in which a feed-forward component can help

feed-forward can be used to remove a lot of the setpoint and disturbance error before it ever gets to the controller and

with these errors removed then all that is left is the noise error and at that point you can set the bandwidth as needed to

Just ignore the noise

This is of course an ideal situation. That's tough to get exactly perfect in real life

But to understand what feed-forward is doing and how it can help our feedback controller

Let's start by focusing on how feed-forward can remove the bulk of the error created by a changing setpoint

The setpoint can change for sure but usually it's not a surprise when it happens because you or some process that you wrote

requested that change and

If you know that a change is about to occur why let it create error in the system first and then have that feedback

Controller respond and generate the necessary control output second

Why not predict ahead of time what controller output is required based on your knowledge of the setpoint change?

What other information would be needed to accomplish this?

Well, let's see if we play a signal U of S through the plant G of s then it will generate the output Y

Of s and if this output is the state we're trying to control that is we're measuring the state of the system

Directly then Y of s should be equal to our set point R of s and that's the goal if they're one in the same

Then the system is behaving the way that we want

Well Y is equal to u times G

So what input U will generate the setpoint that we want? Well, it's simply R times G inverse

where R is the set point and

in verse or the inverse dynamics of our system is our feed forward controller and

If we have a perfect model of our system and that model is invertible

then we can adjust the output of the controller with our perfect feed forward term and since that will create an output that

perfectly follows the setpoint

There's not going to be any contribution to the error term from the setpoint change effectively removing that error from the problem

But there are two issues with this statement

First with model-based design you already have a good model of your system

And so you have something that you can invert and that's good. However, as you can imagine no model is perfect and

Therefore G inverse isn't perfect which means that the output of our system isn't the set point R

But something close to it

So while the bulk behavior of the system may be

accounted for with this method there will always be some residual error due to the process dynamics that aren't perfectly understood and

Second not all process dynamics are invertible. In fact, most of them aren't

It's easy to imagine this for the case where the system has delay

That means that when you command an input it takes a certain amount of time for the system to even begin to respond

So that when you apply you

Why doesn't begin to move until some delay time later?

now, let's look at the inverse of this by thinking about how you would go about building a feed forward controller for this system at

Time equals 10 seconds the setpoint begins to change and you want the system to follow along

Basically, you want the output Y to lie directly on top of the green setpoint line in this case

You would have had to start the command you

earlier than the setpoint change so that when the delay occurs the output would start to change right when you change the setpoint and

Unless you absolutely knew exactly how the setpoint was going to change in the future. Then this prediction is not possible

So rather than invert the dynamics exactly

We usually try to fit a causal and realizable model to the inverse dynamics as best as we can

So with both of these modeling limitations, it's impossible to completely remove the setpoint change error

But usually we can reduce it a lot in this way

The feed forward controller takes care of the bulk behavior and the feedback controller corrects for the modeling errors the goal

Is that these modeling errors can be corrected by a low bandwidth feedback controller one that will still ignore the higher frequency noise

So we've taken care of the set point changes now

Let's focus on the disturbance error

And for the moment

let's assume that we know the

Disturbances to the system perfectly because we're able to measure them if this is the case

Then we can treat them in the same way. We did the set point changes and design a disturbance feed forward controller

But what is the perfect feed forward controller transfer function? Is it the inverse dynamics again?

well our plant now has two different inputs the controlled inputs you from the controller and the

disturbance inputs that are acting on various parts of the system

Both inputs. However, affect the output Y

Therefore there are two different transfer functions

there's the disturbance path G D and then there's the process path GP and the

Output Y is the summation of the two

So here's the thing when a disturbance acts on the system

It will affect the output and so if we can adjust the process input U at the exact same time

So that the GP path perfectly cancels out the GD path

Then there will be no change to the output of the system and therefore no error will result

to solve for this we set y of s to 0

which means that we don't want any change to the output and then solve for the necessary U of s

We get d of s times the ratio of GD over GP

So our perfect disturbance feed forward controller is the disturbance transfer function divided by the process transfer function

But as you can imagine this feed forward controller has the same problems as the other one one

We don't know the process and disturbance transfer functions perfectly and two we still need to invert the process dynamics

For this to work, but in addition to these two problems, we now also need to find a way to measure the disturbance

Some disturbances lend themselves well to feed forward control for example

Imagine a system that is trying to maintain the temperature of an object

if it's too cold the feedback controller adds heat and if it's too hot it removes heat and

the heat loss of the object is dependent on the ambient air temperature the

colder the ambient air the faster heat leaves the object and therefore the more energy it takes for the controller's heating element if

This system had an ambient air temperature sensor

Then you could predict how much heat is being lost to the environment and feed that control forward into the heater to automatically bias

The base heating amount accordingly. This would work nicely

Especially if the ambient temperature changes quickly like someone opened a door to the outside and let in a bunch of cold air

But some disturbances are a bit trickier like trying to measure and predict the effect of wind gusts on a car

These would be hard to measure and in this case. It might not make sense to try to build a feed forward controller

So the next time you're struggling with trying to get your feedback controller to respond quickly to set point changes or disturbances

It's worth investigating whether adding one or more feedback controllers will help your situation

If you were only watching this video to get a general idea feed-forward and why it's used. That's awesome

But I think this will all make a lot more sense

If you implement your own feed forward controller and practice adjusting it to see how it impacts the system in

Simulink you can do just this and it's in graphical form. So it allows you to think about the control architecture in block diagrams

Just like how I drew it out in this video

Specifically there is a good tutorial that I linked to in the description that covers designing a system to control temperature and a heat exchanger

In this example liquid of varying temperature is flowing into a stirring tank and we're trying to keep the tank temperature

constant by adjusting a valve that controls the amount of steam through a heat exchanger and when the tank temperature drops

We open the valve more letting more steam through and adding more heat to the tank

when the temperature of the liquid flowing in changes this X as a disturbance in our system

So let's walk through the highlights of solving this problem because I think it's worth showing how powerful feed forward control can be

to begin

Let's say that we've already experimentally determined the heat exchanger model or the process model

GP and the disturbance model G D

So we have estimations of how changing the voltage of the valve controller and how changing the fluid temperature coming into the tank

placed through our system

Let's first look at just a standard feedback controller

When we wrap API controller around the process and set the proportional and integral gains to the values that were calculated in the tutorial it

produces a nice step response

This means that for a fixed Inlet temperature if we want to raise the tank temperature by 20 degrees

It would take about 15 seconds to start warming up and then about another 25 or 40 seconds or so to reach the commanded temperature

So our feedback controller does a pretty good job

But once we're at steady-state, let's say that the inlet temperature drops suddenly by 10 degrees

This disturbance would ripple through and cause a tank temperature variation that the feedback controller would remove slowly

But not before there was a large temperature drop in the tank

So now let's see how adding feed forward control on the disturbance path can help this

we can measure the inlet fluid temperature and

Adjust our controller output to start adding heat to the tank before the tank temperature is affected

Remember our feed forward controller can be calculated as the negative ratio of GD over GP in our case

That would create this transfer function

this is saying that about 20 seconds after we measure a

Disturbance then we want to start adjusting the steam valve per this transfer function

and if we do that

Then we will add heat into the system that will cancel the heat removed by the cold fluid

And now if we run this simulation, you'll see that that is indeed the case very little deviation from steady state

however, since we're working with models

And we know them perfectly then we were able to cancel out the disturbance really well with real hardware

We won't know the transfer function perfectly

So feed forward can only reduce the impact and not move it completely

We can demonstrate this by changing the feed forward controller parameters slightly

Now when we run this disturbance, we will have a larger effect on the tank temperature

But still not as much as the feedback only control system

All right

Let me duplicate the system real quick and remove the feed forward controller in one of them so that we can compare before and after

Notice that feeding forward the disturbance did not change the way the system reacts to set point changes

We haven't changed the way the system will respond to commands only two disturbances and that's pretty cool

And also that's where I want to leave this video

There's a built in MATLAB demo that you can play around with by running heat X from the command line

This will bring up an interactive GUI that will let you switch controllers between feedback only and feedback plus feed-forward

So you can get a more intuitive feel for how all of this is working. I've put links to this demo in the description

So that you can run this on your own

And if you don't want to miss the next Tech Talk video, don't forget to subscribe to this channel

Also, if you want to check out my channel control system lectures, I cover more controlled theory topics there as well

Thanks for watching and I'll see you next time

For more infomation >> Control Systems in Practice, Part 3: What is Feedforward Control? - Duration: 15:44.

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What is Natto? - Duration: 5:19.

Ancient Japanese staple and supposed superfood, Natto gets a lot of hype for something

that looks like beans swimming in slimy pond scum.

Fermenting soybeans using bacteria creates something slimy and sticky, but also funky

and savory -- and, some people believe, based on a growing body of evidence, pretty good for you.

Natto is often eaten in Japan as a high-protein breakfast food.

Just add some soy sauce, maybe a little mustard, green onions or raw egg yolk and serve over

rice -- like we did here.

It's pungent, by which I do mean stinky, and is often compared to washed rind cheese in terms of its complex funkiness

and in-your-face-ness.

When I tried it, I got strong notes of both cheese and coffee -- which don't seem like they'd go well together.

It's an acquired taste, but I can see how you'd go about acquiring it -- it's actually really interesting!

In fermentation, you use microbes that grow and actually kind of pre-digest your food

to create new and interesting changes in the flavor, the smell, the mouthfeel and even nutritional content.

But you only want specific, friendly microbes setting up camp.

You don't want others in there that could cause the food to spoil.

To transform soybeans into natto, makers use a particular strain of the bacterium B. subtilis,

a common soil-dwelling bacterium with some neat tricks up its sleeve.

When B. subtilis are facing stress from their environment, they have an escape plan— they

can start forming dormant cells housed in super-tough armor called spores.

Spores aren't really alive; they're kind of like seeds of a plant but they're practically indestructible.

They're resistant to extreme temperatures, corrosive chemicals, and even radiation.

And they don't need food or water.

So you can cook your soybeans at temperatures and pressures that would kill most other microbes

that might be around.

Then you introduce B. subtilis spores while the soy beans are still hot, and those Bacillus spores

are the only thing that can stand to be in there.

After that, your natto-to-be is held in hot, humid conditions for about a day or so

to allow the bacteria to settle in and get to work.

Since no one else is home, B. subtilis spores wake up and have no absolutely competition

to eat the lovely beans.

And the effect of its munching is to transform the bland unfermented soybeans into...THIS.

But why do the bacteria produce these gooey strings?

Turns out this slippery substance is what microbiologists called a biofilm — a protective

environment for the bacteria to live in, something lots of bacteria make for themselves.

This particular biofilm is made primarily of polyglutamate.

The amino acid glutamate is responsible for the flavor of savoriness -- these strings

shed glutamate molecules, which our tongues perceive as umami.

More umami flavor emerges in the Natto over time as the biofilm produces more glutamate molecules.

Protected by this biofilm, the bacteria go to town chowing down on the carbs & proteins of the beans.

The fermentation of natto takes place above pH 7 -- it's an alkaline-fermented food.

A lot of other fermented foods are actually acidic, which makes them taste sour.

That's probably why I went in expecting the natto to taste like yogurt or something, but instead

it had a more earthy, slightly bitter flavor that reminded me of coffee or truffles..

Like a lot of fermented foods, natto was likely "discovered" by accident and turned out

to be a good way to preserve soybeans.

But it's still best fresh, as opposed to frozen.

And since it will slowly keep fermenting in your fridge, after a while, it can get pretty strong.

There's also a lot of buzz surrounding the health benefits of natto.

The label "superfood" is usually more hype than substance, but scientists have taken

an interest in natto and what it might do for us.

For example, natto is the most potent food source of vitamin K2, a micronutrient that

helps build bone by transporting calcium from your bloodstream to your bones.

And B. subtilis is found in healthy human guts, so eating natto might have probiotic effects.

Natto also contains nattokinase, an enzyme made by B. subtilis, that's been shown both

in the lab and in humans to have potentially useful effects as a blood thinner and therefore

in fighting heart disease.

It supposedly works by breaking down blood clots, so they can't get stuck in your arteries

and cause a heart attack or stroke.

Human trials are still ongoing into the effects of nattokinase, in heart disease as well as

things like Alzheimer's.

We definitely don't know everything about nattokinase yet, like how or whether it's

actually absorbed by the body, and whether it might interfere with other drugs.

But doctors are keeping an eye on this one.

That said, natto doesn't have to be a health food to be worth eating.

You can just enjoy the slimy funkiness.

Which I sort a did. Let's be real. I'll give it another shot sometime.

We want to give a huge shoutout and thanks to Ann Yonetani of NYrture Foods.

Who, when we reached out about potentially fact-checking an episode,

was so thrilled she sent us a bunch of free natto and Instagram resources and images and all kinds of great stuff!

Thanks so much Ann.

Thanks for watching and thank you Paul Smith and Chelsea Conlin for asking about natto.

Drop your food chemistry questions in the comments. We love these ideas so we'll see if we can take them on.

Remember to subscribe, share, and hit the bell to get notified so we can waltz into your feed with a brand new funky food stuff every week.

For more infomation >> What is Natto? - Duration: 5:19.

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DA claims crime is on the decline - Duration: 2:41.

For more infomation >> DA claims crime is on the decline - Duration: 2:41.

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Toby and Kate talk 'This Is Us' Season 3 - Duration: 2:58.

For more infomation >> Toby and Kate talk 'This Is Us' Season 3 - Duration: 2:58.

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InfoDrop - Nothing is obvious - Duration: 1:36.

(playful music)

- Today I want to talk about language.

I wanted to eliminate from your vocabulary

the word obviously

it's a very interesting word

that appears very often in conversations with client.

Obviously is a word that carries a lot of weight with it

and it's essentially, if it is obvious for you,

it's obviously obvious to the other person.

Well, nothing is obvious.

Maybe your client never heard about the topic

that you're talking about,

maybe they never heard about translation memories,

maybe they never heard about your competitors,

maybe they never heard about subtitling and dubbing.

Whatever the topic you're deciding to talk about

with your client, it's probably going to be obvious

for you because you work with it every day

but it's not obvious for the person that you're talking to.

So, do yourself a favor,

never use the word obviously.

(upbeat music)

♪ I never let it go ♪

♪ Never let it be ♪

♪ No way ♪

♪ I never let it shine ♪

♪ Never let it waste ♪

♪ Come away ♪

♪ Leave me on my own ♪

♪ I do it as a mission ♪

♪ I know you heading the storm ♪

♪ I left you ♪

♪ I never let it go ♪

♪ Never let it be ♪

For more infomation >> InfoDrop - Nothing is obvious - Duration: 1:36.

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What about the crockpot? Chrissy Metz plays "This is Us" word association - Duration: 0:59.

Listen, I think that Rebecca is very misunderstood.

She comes from a good place.

But like we've seen,

Jack is the good cop

and Rebecca is coined the bad cop.

I think they're both great parents.

Here's the thing, poor Jon. Jon Hurentas who plays Miguel.

He gets a bad rap.

But we're gonna find out some stuff about Miguel

And you're gonna learn to love him.

So don't write him off yet.

It's not the crockpots fault.

There weren't batteries in the smoke detector.

The towel was on...

There's a lot of factors.

Don't fault the crockpot.

I cry all the time

I have to watch the show by myself because it's not pretty.

I know what's coming and I still cry.

I read the scripts, I shoot the show

and I still cry. It's just

to see it all together and with the music

is just too moving. I can't handle it.

For more infomation >> What about the crockpot? Chrissy Metz plays "This is Us" word association - Duration: 0:59.

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Can I assume the factory is aware of my expectations? | #03 | #CIL KNOW-HAO - Duration: 2:11.

Assuming that the product will be how you expect would be a risk, right?

At the moment that you receive the sample for example and the sample would be very good,

assuming that the production will be, according to the sample, very good is just an assumption.

It is maybe you something you could assume in Holland for example where the law enforces

that companies should deliver a certain quality.

But is that also the same in China?

Can you assume that?

Can you assume that the production is exactly very well designed to also in mass production

produce your product exactly the same in the best quality like the sample you have received?

Can you assume that quality problems, in your opinion quality problems, are also considered

to be quality problems at the other party in China?

Can you?

In fact in China, you have a lot of smart well educated people, those people are well educated.

But that doesn't mean that you will not have a different approach, a fully different approach,

if you are doing business at the other side of the world.

Different education, different values, different culture.

Therefore, assuming that the other party know how you want them to preform can be doubted.

So this assumption eventually is very important to consider at the moment you are doing business

make sure that the other party always know exactly what you expect from them, so that

afterwards you will not have any discussion about if there was a misunderstanding or that

they thought or their meaning was not yours.

Hi, thank you for watching this video.

I hope you enjoyed it.

Subscribe to our channel to stay updated about more interesting video's coming up.

Follow our CIL LinkedIn page, to stay updated about us working for you in China.

For more infomation >> Can I assume the factory is aware of my expectations? | #03 | #CIL KNOW-HAO - Duration: 2:11.

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One year after Elkhorn child died at Disney World, his family is keeping his legacy alive - Duration: 3:34.

For more infomation >> One year after Elkhorn child died at Disney World, his family is keeping his legacy alive - Duration: 3:34.

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5 Reasons why the man is not interested in intimacy - Duration: 5:17.

5 Reasons why the man is not interested in intimacy

One of the most troublesome problems faced by a large number of women is the reluctance

of the husband to practice intimacy.

This problem has nothing to do with male erectile dysfunction, but a lack of desire and a lack

of intimacy towards his wife, which the wife feels is not desirable and this distresses

her strongly.

But do not worry, Madam, you should know about your husband and what affects him and what

raises him.

You may give the order more than its size without knowing the real reasons behind the

husband's departure from you or not to engage in intercourse with you.

And through this video we will make it easier for you, and we remind you of some reasons

and factors that make the husband does not want to exercise intimacy, and what is the

solution to that problem?

Just follow us.

If you are new to our channel then please Subscribe to our channel and press the bell

so you will get notify for top health and lifestyle videos.

5 Reasons why your man is not interested in you:

1- psychological reasons.

One of the most important reasons why a husband loses the desire to practice intimacy with

his wife is due to psychological pressures.

Your husband may suffer from some of the stress and severe mental disorders that make him

in another world away from you.

These stressors are associated with problems with his work, with his family or friends,

or anything else that has nothing to do with you.

When the mood of the man is bad, it negatively affects his sexual life, and make him lacking

in desire and lack of sexual excitement to practice intercourse with his wife.

In this case the husband must take a warm bath, with a massage natural oils that help

his body to relax and calm the nerves significantly.

2- Chronic organic diseases.

One of the main reasons for the husband's lack of desire to have sexual intercourse

with his wife is he suffering from any chronic organic diseases such as diabetes, stress

disease, or even heart disease, or a problem with thyroid activity.

When men take drugs for these diseases, they negatively affect men's sexual health and

make them lose their ability to have sex, in addition to the fact that these drugs cause

men to lose pleasure and sexual excitement towards the wife.

Therefore, any man suffering from any chronic disease, especially diabetes, it must follow

well rates of sugar and pressure, and ask to consult with the doctor to change those

drugs, because they cause the weakness of erection.

Also, people who suffer from obesity and overweight, their sexual health may be greatly affected.

Therefore, dietary diet systems must be followed to eliminate this excess weight that hinders

his pleasure during intercourse.

3- Neglect of women's personal hygiene.

This may be a bit out of your mind, but it has a big impact on the intimate relationship

between you and your husband, a lack of personal hygiene.

Your lack of interest in the vaginal cleanness of the vagina with continuous secretions is

one of the reasons why the husband does not feel the desire to exercise intimacy with

you, because of the smell of vaginal odor due to vaginal discharge.

Also, the lack of interest in the cleanliness of your chest and the resurgence of bad odors

from the mouth and teeth are among the most prominent reasons for the husband's reluctance

to practice intercourse.

This is because the sense of smell plays a very large role in promoting the desire and

sexual arousal of the husband and leave a great impact on his psyche.

Therefore, it is necessary to pay attention to clean your clothes and clean your body

and mouth and wash your teeth constantly, taking care to make your body smells wonderful

aromas and aromatic oils charming.

If you have severe vaginal discharge, you should treat it immediately.

4- Husband suffering with insomnia.

The problem of insomnia and sleep disorders is one of the main problems that cause the

husband a defect in sexual health and the inability to exercise intimacy properly and

in a natural way enjoyable.

This is because there is a strong correlation between the suffering of men with sleep disorders

and insomnia, and the loss of desire to exercise intimacy with his wife.

Fatigue, exhaustion and suffering from sleep disturbances or sleep apnea may result in

the husband's unwillingness to exercise intimacy.

5- Ignorance of the wife to the ways to provoke her husband.

One of the important reasons that are key in the lack of desire to perform sexual husband

is the ignorance of the wife and the lack of awareness of ways to raise the husband

sexually.

There are some couples who ask their wives some of the movements or sexual things that

raise them, and the reaction of the wife is rejection or mockery at the request of the

husband, or there is a sense of shame and embarrassment.

Which makes the husband feel alienated and away from the lack of interest in the practice

of intimacy and feel very angry at the time.

So, you have to give up the lady of the wife about the feelings of embarrassment and shame

from your husband, and know the world of sex at the other end so make the husband longs

for you badly.

Thanks for watching!

Subscribe our channel for more videos!

For more infomation >> 5 Reasons why the man is not interested in intimacy - Duration: 5:17.

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Why Happiness is Not that Great - Findings from longest ever Longevity study Part 2 - Duration: 7:13.

Hi there

This is Avantgarde Savage and today we are going to talk about how to live a long and healthy life.

First step

Don't jump off cliffs like this.

Seriously now, we're going to take the largest ever study on longevity and dissect

the main three findings and explain why they found those things and how we can apply it

to your own life.

So the longest, largest ever study on longevity is the Terman study where Doctor Terman

took high IQ children,

tested them and then followed them throughout their lives to see the outcome on longevity

and health.

It took over seventy five years and it was actually so long that Dr. Terman died during it

and they had to continue it with other researchers.

So, what did they find out?

Conventional thinking says that

you have to

Become happy to improve your health.

It says that:

Oh, you are sick

Have some positive thinking and it will make your body feel better.

It says that we can

the psychosomatic theory of illness

that it's partially all in our minds and by changing our emotions and

what we think we can then

improve our health, cure disease.

The data says that healthy people are happy.

But not all happy people are healthy

Basically it says that

Healthy creates happiness, but happiness doesn't necessarily creat health.

Data point 1.

And data point 2

Is that people who are depressed

are on a pathway towards illness and an earlier death

Depression could be an early warning sign of impending chronic illness.

But why?

At a conscious level you don't really have access to your body,

to what happens inside. I mean you can see the light outside, you can feel the wind

on your skin.

But you don't feel your red blood cells moving through the arteries,

you don't feel your enzyme digesting food,

the immune system activating when there is a bug

And maybe more crucially you don't feel when

Maybe you have cancerous cells

or

if your heart isn't working well.

This lack of direct contact

I think has led to our current paradigm where

we feel dissociated from the body.

We say the mind in a way separate from the body.

Like religion says the soul is completely separate from the body.

But,

This is not true.

Emotions are signaling systems, they are a way to send information.

And part of the information that they sent is about our own bodies.

Feeling depressed is information about the body.

However it is transmitted at a monkey level let's say.

And we do not know consciously how to decode it.

We rely on such imperfect signaling methods such as emotions

for important stuff like the health of your body.

I think it's because consciously we are very limited in terms

of speed and amount of information that we can process. And emotions are a shortcut.

They are a holistic snapshot of the current state of you overall,

taking into account what happens inside, what happens outside,

what your monkey's model will happen and they give you a one-word summary of what

should actually be described in probably a five hundred page novel

so that you can act at that moment, because if you had to read a 500 page novel

by the time that you finished it it would have been irrelevant,

because everything had changed.

So we need to trust our emotions. And to decode them as something not just

emotional, psychological, not just about how you are feeling about people around you,

but also about what is the actual health of your body.

It's critical information that we are ignoring.

So what should you do?

Take into account your emotions and think about health as part of what creates those emotions

And the next time you feel depressed or sad, don't try to make the feeling go away.

This is a big problem because modern medicine and, in part psychology and psychiatry

focus on making you feel better or taking away the symptom,

in this case making depression go away through entertainment, distracting yourself or even medication.

But depression is an information, it tells you something.

If you take it away, you cannot take the action necessary.

So you take away the symptom of depression,

but you let foster maybe an incipient cancer and in several years time you find that you have late stage cancer.

I used to be quite irritable and make snarky remarks because I was covering

up the fact that I felt sad.

And this sadness was a lot to do with feeling unwell and having lack of energy.

I tried a lot of techniques of positive thinking, of forcing myself to think good, positive thoughts

and taking away the negative thoughts to be happier.

And it didn't really work.

What I found out was as I started

eating healthy, as I started living healthy, I naturally started having

more positive thoughts, I smile more, I have more energy and energy is basically well-being.

the more energy you have the better you feel and I think that's a key component

because depression is lack of energy, it's trying to tell you that your body is not producing sufficient energy

and that you need to address that problem.

Health first, Happiness will follow.

Today you learned that you live longer and healthier if you help other people.

So help your friends and help me by sharing this video so they live a longer healthier life as well.

Thank you! See you next time!

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